data-ai-ml-skill
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
浏览 pluginagentmarketplace 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
678收录技能的仓库 Stars 合计
1,622仓库 Forks
216平均每个技能的仓库 Stars
2同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
Master iOS, Android, React Native, and Flutter development. Build native and cross-platform mobile apps with modern frameworks, handle platform-specific features, optimize performance, and deploy to app stores.
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
Build production-ready classification and regression models with hyperparameter tuning
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
Build computer vision solutions - image classification, object detection, and transfer learning
Deploy ML models to production - APIs, containerization, monitoring, and MLOps
Linux system management - packages, services, users
Linux networking fundamentals - configuration, troubleshooting, security
Linux programming languages - installation, configuration, development
Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
Linux shell scripting mastery - Bash, automation, cron jobs
Linux system administration - installation, maintenance, troubleshooting
Linux DevOps tools and practices - CI/CD, automation, infrastructure
Linux specialized topics - kernel, security hardening, performance
Linux development environment - compilers, build tools, IDEs
Linux shell basics - navigation, commands, file operations
Linux system architecture - processes, memory, storage, kernel
Master UIKit - Views, controllers, navigation, Auto Layout, animations
Master iOS development foundations - Architecture, lifecycle, memory, concurrency
Master SwiftUI - Declarative UI, state management, animations, modern iOS development
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。